Training Platforms

All Novatech Deep Learning systems have been designed with performance and stability in mind. All our systems go through detailed QA as well as QC inspections before being deployed, typically this is done over 24-48 hours. Training systems are defined by the users need for far higher levels of GPU compute, Scalability, and accessibility. Typically, the experiments users are running are of a more complicated nature and using much larger data sets. These systems are normally always rack mounted and would normally use a minimum of x4 GPU’s.

  • Novatech DL-TR1

    • GPUs

      2x Tesla V100

    • CPU

      2x Intel Scalable Gold 5118 2.3Ghz

    • Storage

      Data:2x 2TB
      OS: 1x 480GB SSD

    • Memory

      192GB 2666Mhz

    • Network

      2x Intel 1Gb LAN

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  • Novatech DL-TR2

    • GPUs

      4x NVIDIA TESLA V100

    • CPU

      2x Intel Gold 5118 12 Core 2.3Ghz

    • Storage

      Data: 3x 1.92 TB SSD RAID 0
      OS: 1X 1.92 TB SSD

    • Memory

      256 GB LRDIMM DDR4

    • Network

      Dual 10GBASE-T (RJ45)

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  • Novatech DL-TR3

    • GPUs

      2x NVIDIA TESLA V100

    • CPU

      2x Intel E5-2628L V4 1.9Ghz

    • Storage

      Data:2x 2TB
      OS: 1x 480GB SSD

    • Memory

      256GB 2400Mhz

    • Network

      2x Intel 10Gb LAN ports

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  • Novatech DL-TR4

    • GPUs

      8x NVIDIA TESLA V100

    • CPU

      2x Intel Xeon Gold 5120 2.2Ghz

    • Storage

      Data:2x 2TB
      OS: 1x 480GB SSD

    • Memory

      128GB 2666Mhz

    • Network

      2 x 10Gb/s BASE-T LAN portss

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  • Novatech DL-TR5

    • GPUs

      4x NVIDIA TESLA V100 32GB

    • CPU

      1x AMD Epyc 7551P - 32 CoreS | 64 Threads

    • Storage

      Data: 2x 2 TB SSD
      OS: 1X 480GB SSD

    • Memory

      128GB RDIMM DDR4

    • Network

      Dual 10GBASE-T (RJ45)

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